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According to foreign media reports, Amazon is developing an artificial intelligence (AI) chip, which is mainly used for Amazon Echo and other hardware devices based on Amazon Alexa virtual assistant.
According to people familiar with the matter, the chip will greatly improve the data processing capabilities of Alexa-based hardware devices, allowing them to respond more quickly to user commands.
This move makes Amazon another large technology company after Google and Apple to independently develop artificial intelligence chips. These tech companies do this to personalize their products. But this doesn't bode well for traditional chip companies like Intel and Nvidia:
Because their customers are about to become competitors.
Amazon and Google's in-house development of chips also reminds us of the early days of the tech market. At the time, big tech companies such as IBM and Sun were involved in a variety of areas, including developing their own chips and software. But in the past few years, in order to personalize its products, Apple has begun to develop its own chips, thus reducing its dependence on external partners.
In fact, in the past two years, Amazon has been "secretly" developing chip features through acquisitions and recruitment. In 2015, Amazon spent $100 million to acquire Israeli chip maker Annapurna Labs. At the time, Amazon did not disclose the purpose of acquiring the company.
But last year, Annapurna Labs announced that it was developing a series of chips, mainly used in data storage devices, WiFi routers, smart home devices and streaming devices.
Annapurna Labs is now developing artificial intelligence chips for hardware devices based on Alexa's virtual assistant, according to people familiar with the matter. Amazon declined to comment on this.
For Intel and NVIDIA, Amazon's independent research and development of data center chips is a big threat. Currently, Intel controls 98% of the server main chip market, and Nvidia develops AI chips for these servers that work in tandem with Intel's main chips.
Amazon's interest in GRAIL may signal its interest in AI in healthcare: its investment in GRAIL means that it believes genomics, which has a huge demand for data and processing performance, will become an important computing area. Amazon's existing TV series and AI tools also mean that it is in a good position to enter the healthcare sector, which is already being contested by many AI startups.
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This technology will eventually change our lives in the future, and because it will change our lives, it will eventually become the development trend in the future. It will be the development trend in the future. This is a trend of future development, and Al technology will definitely occupy a high position in the future.
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Amazon isn't synonymous with fashion, yet the company is developing AI algorithms that are leading fashion design trends. Amazon is currently working on several machine learning systems that can shape the latest fashion trends.
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This technology will eventually change our lives in the future, and it will eventually become the development trend in the future.
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I think this should indicate that Amazon may also be entering the tech world.
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Because changing our lives will eventually be the trend of development in the future.
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Netease Intelligence News on April 18] Amazon employees and their investors believe that Jeff Bezos (Jeff Bezos) knows that artificial intelligence (AI) is a big deal. In other annual shareholder letters, the Amazon CEO has used a few paragraphs to explain how the company is using AI in its business and acknowledging and embracing "external trends."
Bezos listed the top three ways Amazon is leveraging AI: tangible products and moonshots (crazy and hard-to-achieve projects), core business, and enterprise clouds.
Bezos wrote, "If you yourself are unwilling or unable to embrace external trends as soon as possible, the outside world will push you into Day 2 state." If you oppose these trends, you may be making enemies of the future.
You need to hug them so you can ride the wind. ”
Products with moonshot projects.
This category is what Bezos calls "practical applications of machine learning," and without AI support, consumer-facing products or services cannot succeed. This is true for Amazon's convenience store Amazon Go, Prime Air's delivery drone, and Alexa, a virtual personal assistant. While Amazon GO and Prime Air deliveries are still in their early stages, Alexa has already attracted more attention, and it didn't appear at CES this year.
It's easy to see that Amazon is leading the way in this space, as the release of the Echo is actually the equivalent of inventing a new product like a voice assistant speaker.
Beneath the surface. AI isn't just limited to drones and virtual assistants, with Bezos saying AI plays an important role in its core business, e-commerce. The company is leveraging AI** product demand, supporting search rankings, creating and recommending transactions, detecting fraud, translating languages, and more.
"Although not obvious, the impact of machine learning technology is very large and is quietly and dramatically improving our core operations," Bezos said. "And, of course, Amazon's highly automated warehouses, where robots are used to speed up processing and shipping times.
Cloud computing. This is an area that people are paying close attention to. Amazon's dominance in the space is clear, though:
The company's revenue is more than five times that of its closest rival, Microsoft. In addition to covering S3 storage space that can support most networks, Amazon Slim also provides developers with some simple tools that allow developers to integrate Amazon's AI algorithms into their own applications, as well as for AI companies to run their own algorithms.
Cloud computing is also a great marketing tool for a merchant like Amazon, as the work that others have done on the platform often sounds just as impressive, without requiring a lot of tinkering and design work to make the final product work.
Bezos has said that the company's "pre-packaged" artificial intelligence algorithms help with diseases and estimate farmers' crop yields without the need for specialized machine learning techniques.
To sum it up. Show that she likes you!
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